uds-lsv/Multi-tasking_Learning_With_Unreliable_Labels

Extending the NLNN algorithm proposed by Bekker & Goldbergers in a Multi-tasking Learning set-up to handle noisy labels. In order to extend low-resource data we often used artificial annotators. In this following setup we aim to generate clean training labeled data from artificial annotators.

Python